Load Packages and Data

## Warning: Missing column names filled in: 'X1' [1]

## Warning: Missing column names filled in: 'X1' [1]

Data Cleaning/Wrangling

Exploratory Data Analysis

## Warning: Missing column names filled in: 'X1' [1]
## Parsed with column specification:
## cols(
##   X1 = col_double(),
##   Time = col_double(),
##   `601140` = col_double(),
##   `756883` = col_double(),
##   `842297` = col_double(),
##   `842298` = col_double(),
##   `842301` = col_double()
## )
## Warning: Missing column names filled in: 'X1' [1]
## Parsed with column specification:
## cols(
##   X1 = col_double(),
##   Time = col_double(),
##   `601143` = col_double(),
##   `696289` = col_double(),
##   `756883` = col_double(),
##   `792415` = col_double(),
##   `842296` = col_double()
## )

## # A tibble: 1 x 11
##   r.squared adj.r.squared sigma statistic p.value    df logLik   AIC   BIC
##       <dbl>         <dbl> <dbl>     <dbl>   <dbl> <int>  <dbl> <dbl> <dbl>
## 1     0.632         0.614  7.64      36.1 5.84e-6     2  -78.3  163.  166.
## # … with 2 more variables: deviance <dbl>, df.residual <int>
## # A tibble: 1 x 11
##   r.squared adj.r.squared sigma statistic p.value    df logLik   AIC   BIC
##       <dbl>         <dbl> <dbl>     <dbl>   <dbl> <int>  <dbl> <dbl> <dbl>
## 1     0.636         0.619  7.59      36.7 5.15e-6     2  -78.2  162.  166.
## # … with 2 more variables: deviance <dbl>, df.residual <int>
## # A tibble: 1 x 11
##   r.squared adj.r.squared sigma statistic p.value    df logLik   AIC   BIC
##       <dbl>         <dbl> <dbl>     <dbl>   <dbl> <int>  <dbl> <dbl> <dbl>
## 1     0.603         0.584  7.93      31.9 1.33e-5     2  -79.2  164.  168.
## # … with 2 more variables: deviance <dbl>, df.residual <int>
## # A tibble: 1 x 11
##   r.squared adj.r.squared sigma statistic p.value    df logLik   AIC   BIC
##       <dbl>         <dbl> <dbl>     <dbl>   <dbl> <int>  <dbl> <dbl> <dbl>
## 1     0.575         0.555  8.21      28.4 2.76e-5     2  -80.0  166.  169.
## # … with 2 more variables: deviance <dbl>, df.residual <int>

## # A tibble: 1 x 11
##   r.squared adj.r.squared sigma statistic p.value    df logLik   AIC   BIC
##       <dbl>         <dbl> <dbl>     <dbl>   <dbl> <int>  <dbl> <dbl> <dbl>
## 1     0.588         0.568  12.1      29.9 1.99e-5     2  -88.9  184.  187.
## # … with 2 more variables: deviance <dbl>, df.residual <int>
## # A tibble: 1 x 11
##   r.squared adj.r.squared sigma statistic p.value    df logLik   AIC   BIC
##       <dbl>         <dbl> <dbl>     <dbl>   <dbl> <int>  <dbl> <dbl> <dbl>
## 1     0.578         0.558  12.2      28.7 2.57e-5     2  -89.2  184.  188.
## # … with 2 more variables: deviance <dbl>, df.residual <int>
## # A tibble: 1 x 11
##   r.squared adj.r.squared sigma statistic p.value    df logLik   AIC   BIC
##       <dbl>         <dbl> <dbl>     <dbl>   <dbl> <int>  <dbl> <dbl> <dbl>
## 1     0.574         0.553  12.3      28.3 2.85e-5     2  -89.3  185.  188.
## # … with 2 more variables: deviance <dbl>, df.residual <int>
## # A tibble: 1 x 11
##   r.squared adj.r.squared sigma statistic p.value    df logLik   AIC   BIC
##       <dbl>         <dbl> <dbl>     <dbl>   <dbl> <int>  <dbl> <dbl> <dbl>
## 1     0.603         0.584  11.9      31.9 1.32e-5     2  -88.5  183.  186.
## # … with 2 more variables: deviance <dbl>, df.residual <int>
## # A tibble: 1 x 11
##   r.squared adj.r.squared sigma statistic p.value    df logLik   AIC   BIC
##       <dbl>         <dbl> <dbl>     <dbl>   <dbl> <int>  <dbl> <dbl> <dbl>
## 1    0.0431      -0.00478 0.162     0.900   0.354     2   9.94 -13.9 -10.6
## # … with 2 more variables: deviance <dbl>, df.residual <int>
## # A tibble: 1 x 11
##   r.squared adj.r.squared sigma statistic p.value    df logLik   AIC   BIC
##       <dbl>         <dbl> <dbl>     <dbl>   <dbl> <int>  <dbl> <dbl> <dbl>
## 1  0.000706       -0.0493 0.165    0.0141   0.907     2   9.46 -12.9 -9.65
## # … with 2 more variables: deviance <dbl>, df.residual <int>